{"id":"W4381196479","doi":"10.1109/icetet-sip58143.2023.10151532","title":"Rheumatoid Arthritis Classification using Thermal Imaging","year":2023,"lang":"en","type":"article","venue":"","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Rheumatoid arthritis; Arthritis; Medicine; Thermography; Artificial intelligence; Computer science; Computer vision; Pattern recognition (psychology); Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003370947,0.0006817189,0.0004795223,0.001365378,0.000226241,0.0008769663,0.0004739257,0.0007358116,0.003677733],"category_scores_gemma":[0.001385991,0.0001706961,0.0008868753,0.0004706283,0.0002359603,0.0003990126,0.0004204353,0.000521301,0.002437284],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004943386,"about_ca_system_score_gemma":0.0003839661,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005915374,"about_ca_topic_score_gemma":0.005222763,"domain_scores_codex":[0.9996482,0.0000394341,0.00002719206,0.00009556545,0.0001051915,0.00008441555],"domain_scores_gemma":[0.9996855,0.00006308293,0.00005807753,0.00002974409,0.0001228307,0.00004081035],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001656516,0.000379893,0.1130867,0.000543725,0.0003616881,0.001902177,0.0001425254,0.044868,0.05091337,0.002037178,0.04314523,0.740963],"study_design_scores_gemma":[0.0001045016,0.0007220272,0.1013287,0.0004962624,0.0004875509,0.006480867,0.00026022,0.8100459,0.04218251,0.009014816,0.02871942,0.0001572287],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6300783,0.01896455,0.2754781,0.003898187,0.001483567,0.0007852215,0.01104943,0.006852603,0.05141],"genre_scores_gemma":[0.9440334,0.002640379,0.03568875,0.0005680203,0.0004810326,0.0001343287,0.004646413,0.00007937557,0.01172838],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005915374,"threshold_uncertainty_score":0.01230323,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03333133076430544,"score_gpt":0.2997966421876102,"score_spread":0.2664653114233048,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}